Triple

T15504099
Position Surface form Disambiguated ID Type / Status
Subject FRL E379034 entity
Predicate hasICAOCode P419 FINISHED
Object LIPK E1159894 NE FINISHED

How this triple was built (2 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: LIPK | Statement: [FRL, hasICAOCode, LIPK]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: LIPK
Context triple: [FRL, hasICAOCode, LIPK]
  • A. LIPK chosen
    LIPK is the ICAO airport code for Forlì International Airport in Forlì, Italy.
  • B. LIP
    LIP is the vehicle registration code for the town of Blomberg in the Lippe district of North Rhine-Westphalia, Germany.
  • C. LIPZ
    LIPZ is the ICAO airport code for Venice Marco Polo Airport, the main international airport serving Venice, Italy.
  • D. LIPY
    LIPY is the ICAO airport code for Ancona Airport, a regional airport serving the city of Ancona and the Marche region in Italy.
  • E. LIPQ
    LIPQ is the ICAO airport code for Trieste – Friuli Venezia Giulia Airport, an international airport serving the Trieste area in northeastern Italy.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69d85cd53a7c819080f5b9042c4c199e completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69e03fcd5d948190b25a67a72ef980e9 completed April 16, 2026, 1:47 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff3d4a9bf88190b7c6b4874abe165f completed May 9, 2026, 1:57 p.m.
Created at: April 10, 2026, 3:54 a.m.